Équilibres et médiations dans la commandite de productions artistiques : intermédiation formelle ou informelle
Bibliographic record
Abstract
Background This research aims to study partnerships between commercial brands and the cultural field. More specifically, it focuses on the process of agreement between marketing representatives and artists in the implementation of partnerships through sponsorship and branded content. Inspired mainly by the work done on cities by Luc Boltanski and Laurent Thévenot in On Justification: Economies of Worth, certain research questions can be identified: how do artists and communication or marketing professionals agree to create partnerships? How do these two worlds communicate and what arguments do they have to justify their association? Analysis The selected methodology proposes a survey based on comprehensive interviews in the context of two Quebec case studies: the sponsorship of an interactive work produced as part of a Montreal cultural festival and the production of a television program with branded content. Conclusions and implications The analysis reveals tensions existing between each partner that nevertheless are subject to different types of mediation between companies and artists which we propose to qualify as formal and informal mediation.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.011 | 0.019 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.004 |
| Science and technology studies | 0.007 | 0.024 |
| Scholarly communication | 0.020 | 0.010 |
| Open science | 0.002 | 0.007 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.013 | 0.001 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".